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Part Time Computational Material Science Jobs in Washington, DC

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Part Time Computational Material Science information

What are some typical projects or tasks a part time computational material scientist might work on, and how is work typically structured within a part time schedule?

As a part-time computational material scientist, you can expect to work on focused projects such as running simulations to predict material properties, analyzing data from computational experiments, or assisting in the development of new algorithms and models. Tasks often include collaborating remotely with full-time researchers, attending virtual meetings, and preparing reports or presentations on your findings. The workload is typically structured to fit your availability, allowing you to contribute to ongoing research while balancing other commitments. Communication and flexibility are key, as you may coordinate with multidisciplinary teams and adjust priorities based on project needs.

What are the key skills and qualifications needed to thrive as a part time computational material science professional, and why are they important?

To thrive as a Part Time Computational Material Science professional, you need a solid background in materials science, physics, or engineering, often supported by a relevant degree and experience with computational modeling. Familiarity with tools such as Density Functional Theory (DFT) software, molecular dynamics packages, and programming languages like Python or MATLAB is typically required. Strong analytical thinking, problem-solving, and the ability to communicate complex findings clearly are vital soft skills. These capabilities enable effective research, accurate simulations, and collaboration within interdisciplinary teams, driving innovation and advancement in materials development.

What is the difference between Part Time Computational Material Science vs Part Time Materials Engineer?

AspectPart Time Computational Material SciencePart Time Materials Engineer
Required CredentialsTypically requires a degree in materials science, physics, or engineering; familiarity with computational toolsRequires a degree in materials science, mechanical engineering, or related field; practical experience in materials testing
Work EnvironmentPrimarily office-based, using simulation software and data analysis toolsLaboratory or manufacturing settings, performing experiments and material testing
Industry UsageUsed in research, development, and simulation-focused roles within tech and manufacturing sectorsApplied in product development, quality control, and manufacturing processes

Part Time Computational Material Science focuses on computer-based simulations and modeling of materials, ideal for research roles. In contrast, Part Time Materials Engineer involves hands-on testing and practical application in labs or production environments. Both roles require a background in materials science but differ in work setting and daily tasks.

What is a part time computational material science?

A part-time computational material science job involves using computer-based simulations and modeling to study and predict the properties and behaviors of materials, but on a reduced or flexible work schedule. Professionals in this role may work on projects such as developing new materials, optimizing existing materials, or supporting experimental research with computational insights. These jobs are ideal for students, researchers, or professionals who need flexible hours, and often require knowledge of programming, materials science, and simulation software. Tasks can include running simulations, analyzing data, and preparing reports or presentations based on findings.
What are the most commonly searched types of Computational Material Science jobs in Washington, DC? The most popular types of Computational Material Science jobs in Washington, DC are:
What are popular job titles related to Part Time Computational Material Science jobs in Washington, DC? For Part Time Computational Material Science jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Part Time Computational Material Science jobs in Washington, DC look for? The top searched job categories for Part Time Computational Material Science jobs in Washington, DC are:
Part Time Computational Material Science jobs near you

NIST PREP Senior Research Fellow in Understanding Failure in Novel Microelectronics Material Systems

Southeastern Universities Research Association

Gaithersburg, MD • On-site

$145K - $150K/yr

Part-time

Re-posted 2 days ago

Job description

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Title: Understanding failure in novel microelectronics material systems (U.S. Citizens Preferred)
The work will entail: The Materials Measurement Laboratory of the National Institute of Standards and Technology is seeking qualified persons (U.S. Citizens Preferred) to perform a peridynamic-based analysis for failure that can transition seamlessly between brittle and ductile fracture behavior and between quasi-static and dynamic failure. The work will focus primarily on interface failure caused by loading near or away from the interface. The application of this study is relevant to structures of interest in the semiconductor industry, particularly dielectric/metal interfaces subjected to various loading conditions that mimic potential mechanical stresses during fabrication or operational lifetime.
Key responsibilities will include but are not limited to:
  • Peridynamic modeling of elastic and elastoplastic behavior from nanoindentation in a brittle substrate with ductile inclusions near the indentation site.
  • Peridynamic modeling of interface failure due to loading near or distant from the interface between brittle and ductile regions.
  • Investigation of crack dynamics near material interfaces based on interface strength.
  • Publish results in peer-reviewed scientific journals and present results at scientific conferences.

Qualifications
  • PhD in Materials Science or another related field
  • 10 years of experience with computational materials research
  • Skilled in using various computational techniques to analyze the elastoplastic behavior of materials, including peridynamic analysis.
  • Familiarity with materials commonly used in microelectronic devices and assemblies.
  • Independent worker with strong written and oral communication skills

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate the administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. By applying to a CHIPS-funded PREP opportunity, you also acknowledge that participation in the project requires signing a Non-Disclosure Agreement (NDA) prior to beginning any work.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0004123

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